On Convergent Finite Difference Schemes for Variational - PDE Based Image Processing

نویسندگان

  • V. B. Surya Prasath
  • Juan Carlos Moreno
چکیده

We study an adaptive anisotropic Huber functional based image restoration scheme. By using a combination of L2-L1 regularization functions, an adaptive Huber functional based energy minimization model provides denoising with edge preservation in noisy digital images. We study a convergent finite difference scheme based on continuous piecewise linear functions and use a variable splitting scheme, namely the Split Bregman [25], to obtain the discrete minimizer. Experimental results are given in image denoising and comparison with additive operator splitting, dual fixed point, and projected gradient schemes illustrate that the best convergence rates are obtained for our algorithm.

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عنوان ژورنال:
  • CoRR

دوره abs/1310.7443  شماره 

صفحات  -

تاریخ انتشار 2013